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AMIA Summits Transl Sci Proc. 2012; 2012: 62–71.
Published online Mar 19, 2012.
PMCID: PMC3392058
Integrative Analysis of Common Neurodegenerative Diseases Using Gene Association, Interaction Networks and mRNA Expression Data
Yu Liu, PhD,1 Mehmet Koyutürk, PhD,1,2 Sean Maxwell, BS,1 Zhongming Zhao, PhD,3 and Mark R Chance, PhD1,4,5*
1Center for Proteomics and Bioinformatics, Cleveland, OH
2Department of Electrical Engineering & Computer Science, Case Western Reserve University, Cleveland, OH
3Departments of Biomedical Informatics, Psychiatry and Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN
4Department of Genetics, Case Western Reserve University, Cleveland, OH
5Neo Proteomics, Inc., Cleveland OH
*Corresponding author
Abstract
Alzheimer’s and Parkinson’s diseases (AD and PD) are two common neurodegenerative diseases primarily affecting memory and motor functions, respectively. In this study, we integrated data from various sources, and took a systems-biology approach to compare and contrast the molecular and network based dysregulation associated with AD and PD and we integrated these data with known pathways of drug treatment. First, we identified genes that exhibit consistent prior evidence of association with each disease. Then, we extracted disease-specific sub-networks from a human interactome database using associated genes as seeds. To rank the sub-networks we used existing gene expression data from cases and controls. Comparison of resulting disease-associated genes and networks revealed significant overlap between AD and PD. In addition, the identified sub-networks correlated with known drug interdiction pathways, and suggested new potential targets for intervention.
Articles from AMIA Summits on Translational Science Proceedings are provided here courtesy of
American Medical Informatics Association